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It has been shown that image descriptors extracted by convolutional neural networks (CNNs) achieve remarkable results for retrieval problems.
“Video google: A text retrieval approach to object matching in videos,”
J. Sivic and A. Zisserman, · 2003
Earlier work this paper cites.
“Distinctive image features from scale-invariant keypoints,”
D. Lowe, · 2004
Earlier work this paper cites.
“Object retrieval with large vocabularies and fast spatial matching,”
J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, · 2007
Earlier work this paper cites.
“Total recall: Automatic query expansion with a generative feature model for object retrieval,”
O. Chum, J. Philbin, J. Sivic, M. Isard, and A. Zisserman, · 2007
Earlier work this paper cites.
“Lost in quantization: Improving particular object retrieval in large scale image databases,”
J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, · 2008
Earlier work this paper cites.
“Better matching with fewer features: The selection of useful features in large database recognition problems,”
P. Turcot and D. Lowe, · 2009
Earlier work this paper cites.
“Efficient representation of local geometry for large scale objet retrieval,”
M. Perdoch, O. Chum, and J. Matas, · 2009
Earlier work this paper cites.
“Aggregating local descriptors into a compact image representation,”
H. Jégou, M. Douze, C. Schmid, and P. Pérez, · 2010
Earlier work this paper cites.
“Large-scale image retrieval with compressed fisher vectors,”
F. Perronnin, Y. Liu, J. Sánchez, and H. Poirier, · 2010
Earlier work this paper cites.
“Three things everyone should know to improve object retrieval,”
R. Arandjelović and A. Zisserman, · 2012
Earlier work this paper cites.
“Neural codes for image retrieval,”
A. Babenko, A. Slesarev, A. Chigorin, and V. Lempitsky, · 2014
Cited alongside, same era.
“Cnn features off-the-shelf: An astounding baseline for recognition,”
A. Razavian, H. Azizpour, J. Sullivan, and S. Carlsson, · 2014
Cited alongside, same era.
“Multi-scale orderless pooling of deep convolutional activation features,”
Y. Gong, L. Wang, R. Guo, and S. Lazebnik, · 2014
Cited alongside, same era.
“Aggregating deep convolutional features for image retrieval,”
A. Babenko and V. Lempitsky, · 2015
Cited alongside, same era.
“From single image query to detailed 3d reconstruction,”
J. Schonberger, F. Radenović, O. Chum, and J.-M. Frahm, · 2015
Cited alongside, same era.
“Batch normalization: Accelerating deep network training by reducing internal covariance shift,”
S. Ioffe and C. Szegedy, · 2015
“Cnn image retrieval learns from bow: Unsupervised fine-tuning with hard examples,”
F. Radenović, G. Tolias, and O. Chum, · 2016
Later among the works it cites.
“Deep residual learning for image recognition,”
K. He, X. Zhang, S. Ren, and J. Sun, · 2016
Later among the works it cites.
“End-to-end learning of deep visual representations for image retrieval,”
A. Gordo, J. Almazan, J. Revaud, and D. Larlus, · 2017
Later among the works it cites.
“Residual attention network for image classification,”
F. Wang, M. Jiang, C. Qian, S. Yang, C. Li, H. Zhang, X. Wang, and X. Tang, · 2017
Later among the works it cites.
“Automatic differentiation in pytorch,”
A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer, · 2017
Later among the works it cites.
“Efficient diffusion on region manifolds: Recovering small objects with compact cnn representations,”
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Cited alongside, same era.
“Adam: A method for stochastic optimization,”
D. Kingma and J. Ba, · 2015
Cited alongside, same era.
“Image search with selective match kernels: Aggregation across single and multiple images,”
G. Tolias, Y. Avrithis, and H. Jégou, · 2015
Cited alongside, same era.
“Cross-dimensional weighting for aggregated deep convolutional features,”
Y. Kalantidis, C. Mellina, and S. Osindero, · 2016
Cited alongside, same era.
“Particular object retrieval with integral max-pooling of cnn activations,”
G. Tolias, R. Sicre, and H. Jégou, · 2016
Cited alongside, same era.
A. Iscen, G. Tolias, Y. Avrithis, T. Furon, and O. Chum, · 2017
Later among the works it cites.
“Large-scale image retrieval with attentive deep local features,”
H. Noh, A. Araujo, J. Sim, T. Weyand, and B. Han, · 2017
Later among the works it cites.
“Fine-tuning cnn image retrieval with no human annotation,”
F. Radenović, G. Tolias, and O. Chum, · 2018
Closest in time.
“Revisiting oxford and paris: Large-scale image retrieval benchmarking,”
F. Radenović, A. Iscen, G. Tolias, Y. Avrithis, and O. Chum, · 2018
Closest in time.